A method for characterizing polarization image information and a method for computing characterization parameters are provided. The method includes: obtaining n polarized subimages of a polarization imaging target, wherein each polarized subimage corresponds to a different polarization angle and n≥3; and computing a parameter matrix [ILP (x, y) INLP(x, y) θ(x, y)] of a polarization cosine characterization equation of all pixel points of the polarization imaging target according to all polarized subimages and the polarization cosine characterization equation of the polarization imaging target. The disclosure obtains a maximum polarization intensity image and a minimum polarization intensity image through computing multiple polarization intensity images, which improves the accuracy of polarization imaging, and the degree of accuracy is much higher than macroscopic accuracy. The disclosure computes polarization cosine characterization parameters through the least squares fitting, which can also effectively reduce the influence of an experimental error on the experimental result.
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2. The method of claim 1, wherein a linear least squares matrix computation is used to compute the parameter matrix of the polarization cosine characterization equation of all of the pixel points of the polarization imaging target.
4. The method of claim 1, further comprising: computing a maximum polarization intensity image Imax=ILP+INLP of the polarization imaging target based on ILP and INLP.
5. The method of claim 1, further comprising: computing a minimum polarization intensity image Imin=INLP of the polarization imaging target based on ILP and INLP.
6. The method of claim 1, further comprising: substituting the polarization angle t and the computed parameter matrix [ILP (x, y) INLP(x, y) θ(x, y)] into the polarization cosine characterization equation, and obtaining a polarization intensity of any pixel at each polarization angle through changing the polarization angle t of the polarizer, thereby obtaining a polarization image of the polarization imaging target in the polarization direction.
7. The method of claim 2, further comprising: computing a maximum polarization intensity image Imax=ILP+INLP of the polarization imaging target based on ILP and INLP.
8. The method of claim 2, further comprising: computing a minimum polarization intensity image Imin=INLP of the polarization imaging target based on ILP and INLP.
9. The method of claim 2, further comprising: substituting the polarization angle t and the computed parameter matrix [ILP (x, y) INLP(x, y) θ(x, y)] into the polarization cosine characterization equation, and obtaining a polarization intensity of any pixel at each polarization angle through changing the polarization angle t of the polarizer, thereby obtaining a polarization image of the polarization imaging target in the polarization direction.
10. The method of claim 3, further comprising: computing a maximum polarization intensity image Imax=ILP+INLP of the polarization imaging target based on ILP and INLP.
11. The method of claim 3, further comprising: computing a minimum polarization intensity image Imin=INLP of the polarization imaging target based on ILP and INLP.
12. The method of claim 3, further comprising: substituting the polarization angle t and the computed parameter matrix [ILP (x, y) INLP(x, y) θ(x, y)] into the polarization cosine characterization equation, and obtaining a polarization intensity of any pixel at each polarization angle through changing the polarization angle t of the polarizer, thereby obtaining a polarization image of the polarization imaging target in the polarization direction.
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March 25, 2021
April 23, 2024
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